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Field
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Robotisation (PROMAR) group, headed by Matthias Rupp. The group develops fundamental and technological expertise in machine learning for materials science, including data-driven accelerated simulations and
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(HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution
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pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental
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HiTech, a research incubator and accelerator that promotes a multicultural and multidisciplinary research environment. PhD Research Focus The selected PhD student will contribute to IRHIS, a large-scale
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, which has multiple test machines with GPUs and AI accelerators. The algorithms used can be bound by the available compute power or memory bandwidth in different parts of the program. This information will
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Magnesium Alumina and Silicates -CMAS-) can infiltrate these coatings and accelerate their degradation. Leveraging a fundamental understanding of material science, coatings technologies and advanced thermal
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and pressures; however, external contaminants (e.g. Calcium Magnesium Alumina and Silicates -CMAS-) can infiltrate these coatings and accelerate their degradation. Leveraging a fundamental understanding
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completion of this project will yield validated designs, novel manufacturing routes, and a deeper understanding of metamaterial-based radiation detectors, accelerating the development of advanced systems
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to rare disease trials. This PhD studentship is part of LifeArc ARDT, a UK-wide £12m partnership between Newcastle, Birmingham, and Belfast to accelerate rare disease trials. Students will receive training
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suggest hypotheses for therapeutic targeting. This PhD studentship is part of the LifeArc ARDT, a UK-wide £12m partnership between Newcastle, Birmingham, and Belfast to accelerate rare disease trials